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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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FEM technique to quantitatively characterize amorphous materials, with high spatial and temporal resolution. • You will be part of a team performing experiments to lead the discovery of key physical
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Job Description Apply now Req Id: 30365 Job Title: Post Doc Research Associate Department of Physics & Astronomy City: West Lafayette Job Description: Job Summary Quantum Device Fabrication
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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-throughput hybrid DFT engine for finite-gap systems containing thousands of atoms using the Quantum ESPRESSO (QE) package. We expect this position to have the opportunity to work on the high-performance
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quantum-chemical theorists, synthetic chemists, and device physicists, we will work together to use your results to refine the design of organic semiconductor materials to improve the performance of OLED
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leverages the latest advancements in artificial intelligence/ machine learning (AI/ML) and high-performance computing to accelerate the discovery, design and synthesis of advanced functional materials
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance. What You Need to Do Apply! Applicants are encouraged to upload